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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

Constructing a word cloud from a document


In the previous recipe, we studied a quick and easy way to generate a word cloud. In this recipe, we will learn how to create a word cloud using an entire document, such as a transcript of the complete inaugural speech by President Obama. We will also learn how to process the text and structure it using the text mining package.

Getting ready

To generate a word cloud and structure our data, we will use the following packages:

  • wordcloud

  • tm

How to do it…

We will start this recipe by installing and loading the required packages in R using the install.packages() and library() functions:

install.packages(c("wordcloud","tm"))
library(tm)
library(wordcloud)

The readLines() function allows us to read the file in R that contains our text. The obama.txt file should be saved in our current R directory:

file = readLines("obama.txt")

The text in our file is not well structured. The text file consists of punctuation, numbers, and stop words, which need to be cleaned...

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